@article {10.3844/jcssp.2020.295.304,
article_type = {journal},
title = {Utilizing of Big Data and Predictive Analytics Capability in Crisis Management},
author = {AL-Ma’aitah, Mohammad Atwah},
volume = {16},
number = {3},
year = {2020},
month = {Mar},
pages = {295-304},
doi = {10.3844/jcssp.2020.295.304},
url = {https://thescipub.com/abstract/jcssp.2020.295.304},
abstract = {This study investigates the impact of Big Data and Predictive Analytics (BDPA) capability on crisis management in the Greater Amman Municipality (GAM), Jordan. Effective utilization of BDPA is considered in the study to depend upon the five dimensions: Tangible resources, technical skills, management skills, organizational learning and data driven culture. Crisis management is classified into the three stages of crisis preparedness, crisis response and crisis recovery. A32 item questionnaire was developed for the purpose of the study, which was completed by 140 participants; with128 responses deemed suitable for research analysis. PLS2 software was used to analyze the data. The study results confirm that the Greater Amman Municipality has medium levels of big data availability and predictive analytics capability overall. The study’s findings further demonstrate that big data and predictive analytics capability has a significant impact on crisis management. The main recommendation of the study is that organizations enhance their ability to utilize big data through expanding their tangible resources infrastructure, including machine learning algorithms, python software, simulation and regression analysis for understanding huge volumes of data. In addition, the study recommends that organizations improve the technical skills of their staff by providing the necessary training for performing big data analysis.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}